Pith Number
pith:344EPSOT
pith:2024:344EPSOTG5WQ4ER2II5R6HH2SJ
not attested
not anchored
not stored
refs pending
Social Bias in Large Language Models For Bangla: An Empirical Study on Gender and Religious Bias
arxiv:2407.03536 v3 · 2024-07-03 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{344EPSOTG5WQ4ER2II5R6HH2SJ}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
· sign in to
claim
4
Citations
5
Replications
✓
Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Cited by
Receipt and verification
| First computed | 2026-07-05T09:48:34.122285Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
df3847c9d3376d0e123a423b1f1cfa92464e27062c2554591ff24f2815895803
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/344EPSOTG5WQ4ER2II5R6HH2SJ \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: df3847c9d3376d0e123a423b1f1cfa92464e27062c2554591ff24f2815895803
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e3b2a0005c8f0c332a830dde07cfdbafef6e7ad3d35fbbd9b116855b5180c067",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-07-03T22:45:36Z",
"title_canon_sha256": "b4c26678d935fb9df4b44501e0950f224052f1a9d227a838a4a1c2aa4aacb4fa"
},
"schema_version": "1.0",
"source": {
"id": "2407.03536",
"kind": "arxiv",
"version": 3
}
}